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Dashbird

End of AWS Lambda support for Node.js 10: Should you switch from v10 to v14?

It’s the end of AWS Lambda support for Node.js v10. AWS Lambda support for Node.js 10 is due to end in August 2021. It’s time to switch! In this article, we’re discussing and comparing the differences of working with Node.js 10 and Node.js 14 + AWS Lambda, the impacts, and benefits of this change. AWS Lambda supports multiple versions of programming language runtimes, but not forever.

Lambda Metrics That You Should Be Monitoring

What are the crucial AWS Lambda metrics you should definitely be monitoring? Your application does not need to be “huge” for it to have enough functions and abstraction to get lost in it. As a DevOps engineer, you can’t cover every single factor. Showing relevant facts and asking the right questions is crucial! So when there’s a fire, you can troubleshoot in no time. Every organization is unique, and every workload has its own utility.

Debugging with Dashbird: Lambda not logging to CloudWatch

Lambda not logging to CloudWatch? It’s actually one of the most common issues that come up. Let’s briefly go over why this problem needs to be solved. CloudWatch is the central logging and monitoring service of the AWS cloud platform. It gives you insights into all the AWS services. Even if you can’t deploy and test serverless systems locally, CloudWatch tells you what’s happening to them.

How we built a serverless "Stonks" checker API for Wall Street Bets

A while ago, a merry bunch on Reddit at the subreddit r/WallStreetsBets (WSB) took on Wall Street. Ironically, through an app called Robinhood. As Alanis Morisette would say, “A little too ironic, don’t ya think?” You had to be in there and in the know at the right time to benefit from the situation. That’s why we built a serverless API to keep track of all the hot and trending stock chats on WSB, that will notify you when the next GME is about to blow up.

Six AWS Lambda Cost Optimization Strategies That Work

In 2021 it’s common practice for businesses to use a pay-as-you-go/use pricing model. It’s no different with Amazon. It’s also the primary reason why this article is such an important read for all those looking to reduce their AWS Lambda costs. In this article, we will go over six actionable strategies to optimize the cost relating to our AWS Lambda usage. One of the main reasons for choosing to move into the cloud is the ability to reduce costs.

Dashbird becomes Gartner Cool Vendor 2021!

We’re officially cool! Dashbird is extremely proud to be named as a Cool Vendor by Gartner in Monitoring, Observability, and Cloud Operations in their 28 April 2021 report on “Cool Vendors in Monitoring, Observability and Cloud Operations”. “Dashbird provides a novel approach to observability for serverless applications that run inside an AWS environment.

What Are AWS Lambda Triggers?

This is a basic introduction to Lambda triggers that uses DynamoDB as an event source example. We talk a lot about the more advanced level of Lambda triggers in our popular two-part series: Complete Guide to Lambda Triggers. If you want to learn more, read part one and part two. We’re going back to the basics this time because skipping some steps when learning something new might get you confused. It tends to get annoying, or it can even make you frustrated. Why?

10 Simple AWS Hacks That Will Make You Super Productive

Useful AWS hacks and tricks that will save you time and money. If you work a lot with AWS, you probably realized that literally, everything on AWS is an API call; hence everything can be automated. This article will discuss several tricks that will save you time when performing everyday tasks in the AWS cloud. Make sure to read till the end. The most interesting one is listed at the very end 😉

Can Data Lakes Accelerate Building ML Data Pipelines?

A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL. Therefore, their data needs are often different from those of data analysts. In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases.